# Llama 3-8B vs o3-pro

> o3-pro is the stronger model overall, scoring 42.7 to 25.3 on the Noometry Index. Llama 3-8B costs 250× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-8b-vs-o3-pro
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and o3-pro in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 34.2.
- The biggest single-benchmark swing is DTBench: 43.9% for Llama 3-8B and 86.9% for o3-pro.
- Llama 3-8B is cheaper at $0.14 / $0.14 per million input/output tokens, against $20 / $80 for o3-pro.
- o3-pro accepts more context: 200K tokens versus 8K.
- Llama 3-8B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3-8B | o3-pro |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 25.3 | 42.7 |
| Rank | 338 | 94 |
| Context | 8K | 200K |
| Input $/M | $0.14 | $20 |
| Output $/M | $0.14 | $80 |
| Weights | Open | Proprietary |

## Coding

- Llama 3-8B: 30.5 (#285)
- o3-pro: 55.1 (#22)

| Benchmark | Llama 3-8B | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| BigCodeBench Instruct | 31.9% | — |
| LMArena Coding | 1152 | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |

## Reasoning

- Llama 3-8B: 13.8 (#321)
- o3-pro: 24.1 (#152)

| Benchmark | Llama 3-8B | o3-pro |
|---|---|---|
| DTBench | 43.9% | 86.9% |
| Epoch Capabilities Index | 116.33 | 147.43 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1133 | — |
| LMCA | — | 38.5% |
| Adversarial NLI | 57.3% | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |

## Math

- Llama 3-8B: 8.3 (#317)
- o3-pro: —

| Benchmark | Llama 3-8B | o3-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | 1151 | — |
| MATH Level 5 | 6.1% | — |

## Knowledge

- Llama 3-8B: 7.8 (#303)
- o3-pro: 29.0 (#234)

| Benchmark | Llama 3-8B | o3-pro |
|---|---|---|
| GPQA Diamond | 26.1% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1113 | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |

## Multilingual

- Llama 3-8B: 31.0 (#256)
- o3-pro: —

| Benchmark | Llama 3-8B | o3-pro |
|---|---|---|
| LMArena Non-English | 1098 | — |
| LMArena Chinese | 1076 | — |
| LMArena French | 1158 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1003 | — |
| LMArena Russian | 1109 | — |
| LMArena Spanish | 1172 | — |

## Instruction Following

- Llama 3-8B: 58.7 (#255)
- o3-pro: —

| Benchmark | Llama 3-8B | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1127 | — |

## Long Context

- Llama 3-8B: 34.2 (#246)
- o3-pro: 72.1 (#1)

| Benchmark | Llama 3-8B | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1128 | — |

## Writing & Preference

- Llama 3-8B: 37.7 (#251)
- o3-pro: 57.1 (#128)

| Benchmark | Llama 3-8B | o3-pro |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1150 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1152 | — |

## FAQ

### Is Llama 3-8B better than o3-pro?

o3-pro is the stronger model overall, scoring 42.7 to 25.3 on the Noometry Index. Llama 3-8B costs 250× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.

### Which is cheaper, Llama 3-8B or o3-pro?

Llama 3-8B is cheaper. It lists at $0.14 per million input tokens and $0.14 per million output tokens; o3-pro lists at $20 and $80.

### Is Llama 3-8B or o3-pro better for coding?

o3-pro scores higher on coding benchmarks: 55.1 versus 30.5 in the Noometry coding category.

### Which has the bigger context window?

o3-pro does, with 200K tokens against 8K.

### How many benchmarks do Llama 3-8B and o3-pro share?

2 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and o3-pro has 12.